This paper considers the issue of human subjectivity in the system of “5G + AI+Education” from the perspective of, on the one hand, the real need for the problems that gradually emerge in the new round of development and application of artificial intelligence, and a philosophical reflection on the application of artificial intelligence in specific fields, on the other hand. It is also a further examination of the issue of human subjectivity in the new context. On the other hand, it is also a further examination of the issue of human subjectivity in the new context of the times, which can also provide students with an immersive learning environment, and AI artificial intelligence and hologram technology can enhance students’ motivation. This paper shows the specific steps and implementation measures of “5G” technology into online oral teaching and provides a case study design to explore the new online oral teaching model, summarizing the advantages and proposing solutions to the shortcomings. The system visualizes each step of gesture recognition to facilitate students’ understanding. Students can experience the process of gesture recognition according to the guidance of the interactive interface, and then, the complex and abstract gesture recognition process is explained with a figurative example, which is conducive to primary and secondary school students’ deeper understanding and improved logical thinking. This will help primary and secondary school students to have a deeper understanding and improve their logical thinking skills. Finally, a comparison experiment is designed to verify the effectiveness of using this system to learn AI knowledge compared with traditional learning methods. The experimental results are analyzed to prove that using this system to learn AI knowledge is effective and helps improve users’ interest in learning and hands-on ability.

The language assistance and learning sectors have currently undergone restructuring in the period of fifth-generation (5G) communication and artificial intelligence, influenced by technologies, cloud services, learning techniques, speaker identification, language processing, virtual environments, expanded actuality, and blended actuality. This study proposes a routing protocol of modernized energy-optimized low-energy adaptive clustering hierarchical protocol (M-LEACH) using artificial intelligence and 5G Internet technologies for online English teaching. A dataset of 6,600,000 items, containing 3,250,000 favorable and unfavorable texts in English, is employed. The dataset is preprocessed using normalization to eliminate the impulse noises. Discriminant features are extracted using a variational autoencoder (VAE), and a random forest (RF) classifier is used to classify the features with accurate performance. The performance of the protocol is measured in terms of transmission rate, alive nodes, energy consumption, and a number of transmitted packets. Results show that the proposed M-Leach protocol provides a high transmission rate, maximum transmitted packets, more alive nodes, and minimum energy consumption as compared to other protocols. The proposed protocol will transform online English teaching from closed to open, and passive to active learning, dramatically changing the time and space scenarios, as well as the supply levels of English education.

The language assistance and learning sectors have currently undergone restructuring in the period of 5G and artificial intelligence, influenced by technologies, cloud services, learning techniques, CNNs, speaker identification, language processing, virtual environments, expanded actuality, and blended actuality. This study introduces a routing protocol of modernized energy-optimized (low energy adaptive clustering hierarchical) LEACH protocol (M-LEACH) using Artificial Intelligence (AI) and 5G net technologies. The dataset can be collected and then the dataset is pre-processed using normalization to eliminate the impulse noises. After that, the features are extracted by the Variational autoencoder (VAE). Here, a Random Forest (RF) classifier can be utilized for classifies these features with accurate performance. For better transmission of information, the M-LEACH routing algorithm can be used in the 5G net service. Finally, the performances are examined and the result is compared with other existing methods. The result can be obtained using the MATLAB software tool.